IDEAS home Printed from https://ideas.repec.org/a/gam/jlogis/v9y2025i1p31-d1591765.html
   My bibliography  Save this article

Multi-Criteria Decision Analysis for Sustainable Medicinal Supply Chain Problems with Adaptability and Challenges Issues

Author

Listed:
  • Alaa Fouad Momena

    (Department of Industrial Engineering, College of Engineering, Prince Sattam Bin Abdulaziz University, Al Kharaj 11942, Saudi Arabia
    These authors contributed equally to this work.)

  • Kamal Hossain Gazi

    (Department of Applied Mathematics, Maulana Abul Kalam Azad University of Technology, West Bengal, Haringhata 741249, West Bengal, India
    These authors contributed equally to this work.)

  • Sankar Prasad Mondal

    (Department of Applied Mathematics, Maulana Abul Kalam Azad University of Technology, West Bengal, Haringhata 741249, West Bengal, India
    These authors contributed equally to this work.)

Abstract

Background: The supply chain refers to the full process of creating and providing a good or service, starting with the raw materials and ending with the final customer. It requires cooperation and coordination between many parties, including the suppliers, manufacturers, distributors, retailers, and customers. Methods: In the medicinal supply chain (MSC), the critical nature of these processes becomes more complicated. It requires strict regulation, quality control, and traceability to ensure patient safety and compliance with regulatory standards. This study is conducted to suggest a smooth channel to deal with the challenges and adaptability of the MSC. Different MSC challenges are considered as criteria which deal with various adaptation plans. Multi-criteria decision-making (MCDM) methodologies are taken as optimization tools and probabilistic linguistic term sets (PLTSs) are considered for express uncertainty. Results: The subscript degree function (SDF) and deviation degree function (DDF) are introduced to evaluate the crisp value of the PLTSs. An MSC model is constructed to optimize the sustainable medicinal supply chain and overcome various barriers to MSC problems. Conclusions: Additionally, sensitivity analysis and comparative analysis were conducted to check the robustness and flexibility of the system. Finally, the conclusion section determines the optimal weighted criteria for the MSC problem and identifies the best possible solutions for MSC using PLTS-based MCDM methodologies.

Suggested Citation

  • Alaa Fouad Momena & Kamal Hossain Gazi & Sankar Prasad Mondal, 2025. "Multi-Criteria Decision Analysis for Sustainable Medicinal Supply Chain Problems with Adaptability and Challenges Issues," Logistics, MDPI, vol. 9(1), pages 1-32, February.
  • Handle: RePEc:gam:jlogis:v:9:y:2025:i:1:p:31-:d:1591765
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2305-6290/9/1/31/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2305-6290/9/1/31/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xu, Zeshui, 2005. "Deviation measures of linguistic preference relations in group decision making," Omega, Elsevier, vol. 33(3), pages 249-254, June.
    2. Mohsen Ramezanzade & Hossein Karimi & Khalid Almutairi & Hoa Ao Xuan & Javad Saebi & Ali Mostafaeipour & Kuaanan Techato, 2021. "Implementing MCDM Techniques for Ranking Renewable Energy Projects under Fuzzy Environment: A Case Study," Sustainability, MDPI, vol. 13(22), pages 1-38, November.
    3. Santonab Chakraborty & Himalaya Nirjhar Datta & Kanak Kalita & Shankar Chakraborty, 2023. "A narrative review of multi-objective optimization on the basis of ratio analysis (MOORA) method in decision making," OPSEARCH, Springer;Operational Research Society of India, vol. 60(4), pages 1844-1887, December.
    4. ManMohan S. Sodhi & Christopher S. Tang, 2021. "Supply Chain Management for Extreme Conditions: Research Opportunities," Journal of Supply Chain Management, Institute for Supply Management, vol. 57(1), pages 7-16, January.
    5. Jing Gu & Ying Zheng & Xiaoli Tian & Zeshui Xu, 2021. "A decision-making framework based on prospect theory with probabilistic linguistic term sets," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 72(4), pages 879-888, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Priom Mahmud & Sanjoy Kumar Paul & Abdullahil Azeem & Priyabrata Chowdhury, 2021. "Evaluating Supply Chain Collaboration Barriers in Small- and Medium-Sized Enterprises," Sustainability, MDPI, vol. 13(13), pages 1-28, July.
    2. Ni Li & Minghui Sun & Zhuming Bi & Zeya Su & Chao Wang, 2014. "A new methodology to support group decision-making for IoT-based emergency response systems," Information Systems Frontiers, Springer, vol. 16(5), pages 953-977, November.
    3. Zeshui Xu, 2013. "Compatibility Analysis of Intuitionistic Fuzzy Preference Relations in Group Decision Making," Group Decision and Negotiation, Springer, vol. 22(3), pages 463-482, May.
    4. Xunjie Gou & Zeshui Xu & Huchang Liao, 2019. "Hesitant Fuzzy Linguistic Possibility Degree-Based Linear Assignment Method for Multiple Criteria Decision-Making," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(01), pages 35-63, January.
    5. Yinrunjie Zhang & Decui Liang & Zeshui Xu, 2025. "Cross-platform hotel evaluation by aggregating multi-website consumer reviews with probabilistic linguistic term set and Choquet integral," Annals of Operations Research, Springer, vol. 348(1), pages 221-255, May.
    6. Talieh Abdolkhaninezhad & Masoud Monavari & Nematollah Khorasani & Maryam Robati & Forogh Farsad, 2022. "Analysis Indicators of Health-Safety in the Risk Assessment of Landfill with the Combined Method of Fuzzy Multi-Criteria Decision Making and Bow Tie Model," Sustainability, MDPI, vol. 14(22), pages 1-24, November.
    7. Bharath Kumar Sugumar & Norma Anglani, 2025. "A Novel Decision-Support Framework for Supporting Renewable Energy Technology Siting in the Early Design Stage of Microgrids: Considering Geographical Conditions and Focusing on Resilience and SDGs," Energies, MDPI, vol. 18(3), pages 1-29, January.
    8. Xunjie Gou & Zeshui Xu & Xinxin Wang & Huchang Liao, 2021. "Managing consensus reaching process with self-confident double hierarchy linguistic preference relations in group decision making," Fuzzy Optimization and Decision Making, Springer, vol. 20(1), pages 51-79, March.
    9. Nebiyu Kedir & Phuong H. D. Nguyen & Citlaly Pérez & Pedro Ponce & Aminah Robinson Fayek, 2023. "Systematic Literature Review on Fuzzy Hybrid Methods in Photovoltaic Solar Energy: Opportunities, Challenges, and Guidance for Implementation," Energies, MDPI, vol. 16(9), pages 1-38, April.
    10. Sumin Yu & Zhijiao Du & Xuanhua Xu, 2021. "Hierarchical Punishment-Driven Consensus Model for Probabilistic Linguistic Large-Group Decision Making with Application to Global Supplier Selection," Group Decision and Negotiation, Springer, vol. 30(6), pages 1343-1372, December.
    11. Sameer Prasad & Harish Borra & Jason Woldt & Nezih Altay & Jasmine Tata, 2023. "Migrant flows: Humanitarian operational aspects of people in transit," Production and Operations Management, Production and Operations Management Society, vol. 32(10), pages 3311-3327, October.
    12. Adnan Veysel Ertemel & Akin Menekse & Hatice Camgoz Akdag, 2023. "Smartphone Addiction Assessment Using Pythagorean Fuzzy CRITIC-TOPSIS," Sustainability, MDPI, vol. 15(5), pages 1-19, February.
    13. Xing Gao & Cheng Shi & Keyu Zhai, 2018. "An Evaluation of Environmental Governance in Urban China Based on a Hesitant Fuzzy Linguistic Analytic Network Process," IJERPH, MDPI, vol. 15(11), pages 1-20, November.
    14. Anne E. Dohmen & Jason R. W. Merrick & Lance W. Saunders & Theodore P. Stank & Thomas J. Goldsby, 2023. "When preemptive risk mitigation is insufficient: The effectiveness of continuity and resilience techniques during COVID‐19," Production and Operations Management, Production and Operations Management Society, vol. 32(5), pages 1529-1549, May.
    15. Barbara Flynn & David Cantor & Mark Pagell & Kevin J. Dooley & Arash Azadegan, 2021. "From the Editors: Introduction to Managing Supply Chains Beyond Covid‐19 ‐ Preparing for the Next Global Mega‐Disruption," Journal of Supply Chain Management, Institute for Supply Management, vol. 57(1), pages 3-6, January.
    16. Wanying Xie & Zeshui Xu & Zhiliang Ren & Hai Wang, 2018. "Probabilistic Linguistic Analytic Hierarchy Process and Its Application on the Performance Assessment of Xiongan New Area," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(06), pages 1693-1724, November.
    17. Wu, Xingli & Liao, Huchang, 2019. "A consensus-based probabilistic linguistic gained and lost dominance score method," European Journal of Operational Research, Elsevier, vol. 272(3), pages 1017-1027.
    18. Alexander Samuels, 2024. "Artificial Intelligence and the Business Revolution: A Systematic Literature Review of Transforming Supply Chain Management Practices in South Africa," Journal of Economic and Social Development, Clinical Journals Press, vol. 11(02), pages 01-21.
    19. Tiwari, Manisha & Bryde, David J. & Stavropoulou, Foteini & Dubey, Rameshwar & Kumari, Sushma & Foropon, Cyril, 2024. "Modelling supply chain Visibility, digital Technologies, environmental dynamism and healthcare supply chain Resilience: An organisation information processing theory perspective," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 188(C).
    20. Li, Pengcheng & Chen, Yanbing & Guo, Xiaochuan, 2025. "Digital transformation and supply chain resilience," International Review of Economics & Finance, Elsevier, vol. 99(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlogis:v:9:y:2025:i:1:p:31-:d:1591765. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.